Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
Collect and extract comments, video metadata and user profiles on Poal.
Collect and extract Google Shopping products using keywords. Returns matching product information that includes the product URL, title, description, rating, review counts, seller, pricing, and more.
How Datastreamer works
Quickly connect Open Measures Poal and Bright Data Google Shopping Products with a Datstreamer Pipeline.
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.
Add Datastreamer components to your data stack and explore its full capabilities
